GM( 1 ,1) Model of Time Sequence Coefficient and Application

摘要：

Based on the error analysis of the GM (1, 1) model, this paper corrects the equidistance sequence and establishes GM ( 1 ,1) model of time sequence coefficient with time coefficient. This model overcomes the disadvantage which the residual sequence obtained by residual model may not satisfy the condition of no negativity. The new method simplifies the modeling process and has higher precision of forecast and simulation. Therefore this model had certain theory value and the application value Example shows that GM (1, 1) model of time sequence coefficient is more suitable in fluctuant primary data and also indicates its usability and the reliability.

作者: Haibo Ren Yaoguo Dang Zhengxin Wang

作者单位: College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29＃, Yudao College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, Ji

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）